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CrowdStrike CCSE-204 Exam Syllabus Topics:

SectionWeightObjectives
Parsing20%- Parser testing and validation
- Monitoring and resolving parsing errors
- CrowdStrike Parsing Standards and normalization
- Parser creation, modification and cloning
- AI-generated parsers and advanced syntax
- Log format identification and handling
Content Creation20%- CQL query design, building and optimization
- Correlation rules creation, tuning and management
- Dashboard creation and customization
- Content deployment and version control
- Lookup file management and utilization
- First-party vs third-party detections
Automation and Integration20%- Automated response and remediation
- API access and token management
- Falcon Fusion SOAR workflow design and automation
- External system integration
- Integration with FalconPy and other tools
User Management20%- Multi-factor authentication (MFA) setup
- Custom role creation and permission assignment
- Role-based access control (RBAC) and built-in roles
- SSO/SAML configuration and claim mapping
- Repository-level access control
- Audit log monitoring and usage
Data Ingestion20%- Ingestion methods and integration strategies
- First-party vs third-party data sources
- Troubleshooting ingestion and connectivity issues
- Connector components and management
- Built-in and custom data connector configuration
- Fleet management and log collector deployment

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CrowdStrike Certified SIEM Engineer Sample Questions (Q34-Q39):

NEW QUESTION # 34
A correlation rule is generating a high volume of detections. You have been asked to temporarily deactivate it so your team can investigate.
What will happen to previously generated detections while the rule is in a deactivated state?

Answer: A

Explanation:
The correct answer is A . Deactivating a correlation rule stops it from generating new detections, but previously generated detections remain available in the console for review and investigation. Rule deactivation affects future rule execution state rather than retroactively changing, closing, or deleting detections that have already been created. That is why options B, C, and D are incorrect.


NEW QUESTION # 35
You are onboarding a log source that includes a timestamp with a different timezone.
How should you address any time parsing errors that occur?

Answer: D

Explanation:
The correct answer is A . CrowdStrike documentation states that when a timestamp does not include timezone information, or when you need to control timezone interpretation, you should pass the timezone parameter to parseTimestamp() or findTimestamp(). Since parsers are where ingest-time transformations are defined, the correct engineering approach is to create or clone a custom parser for that log source and explicitly apply the needed timezone handling there. CrowdStrike's custom parser docs explain that parsers are used to control how incoming events are transformed during ingest, and the timestamp parsing docs explain that timezone can be set directly in the parser logic.
Why the other options are incorrect:
B is not the documented parser-side solution. While changing the source may work operationally in some environments, CrowdStrike's parsing guidance focuses on fixing time interpretation in the parser by using timezone or related timestamp parsing controls. C is incorrect because changing the timestamp field name does not solve timezone parsing. D is incorrect because dropping the source timestamp and relying on ingest time would lose the original event time, which is exactly what parsers are meant to preserve by converting source timestamps into @timestamp. CrowdStrike explicitly states that one of the most important jobs of a parser is assigning correct timestamps to events.


NEW QUESTION # 36
Which default parser would you use to parse the log event below?
Jan 15 14:22:07 host1 sshd[1234]: Failed login

Answer: D

Explanation:
The correct answer is D. Syslog . The sample log follows classic syslog structure: a syslog-style timestamp, hostname, process name with PID, and message body. CrowdStrike's LogScale Collector documentation includes Syslog as a source/parser context for logs of this format, making Syslog the appropriate default parser choice here.


NEW QUESTION # 37
You need to ingest data from a custom internal application hosted on-prem. The application writes logs to a file on a syslog server.
Which data connector would you use?

Answer: A

Explanation:
The HTTP Event Connector is used to ingest log data from custom applications, including on- premises sources that can forward logs (such as via a syslog server) over HTTP, enabling integration with Falcon Next-Gen SIEM.


NEW QUESTION # 38
What is true about first-party data from the Falcon platform and its integration into Next-Gen SIEM?

Answer: B

Explanation:
Falcon first-party data, such as endpoint telemetry, is natively integrated and immediately available in Next-Gen SIEM without requiring log collectors or third-party connectors.


NEW QUESTION # 39
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